Part 5/12:
- Maintain Human Oversight: Keep humans in the loop to validate outcomes, ensure ethical standards, and continually refine models based on feedback.
Chandra stresses that methodical experimentation followed by ROI assessment helps organizations avoid premature or unnecessary deployment of AI models, ensuring efforts are justified and sustainable.
Key Considerations and Methodologies in Choosing Use Cases
Decision-makers should adopt a comprehensive approach:
Experimentation and Testing: Small-scale pilots enable quick learning and failure management.
Measuring Accuracy and Bias: Regularly evaluate the quality of generated outcomes. Bias detection and correction are critical for ethical and effective AI.